Environmental characteristisation for genotype by environment matching. SIMLESA workshop. Solomon Fekybelu
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The document discusses using simulation models to characterize different environments for genotype by environment matching in plant breeding. It used APSIM simulations on 32 soil-site combinations over 1890-2010 climate records to model yield, water supply, and drought stress frequencies for different maize environments. Cluster analysis grouped the environments into clusters based on simulated yield distributions and drought stress patterns. The analysis found that drought frequencies accounted for over 80% of yield variability between environments. Characterizing drought frequencies can enhance breeding and selection of drought tolerant germplasm for different environments.
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The document discusses using genetic and environmental data to more efficiently explore genetic variation in plant genetic resources collections. It proposes a strategy called FIGS (Focused Identification of Germplasm Strategy) to select subsets of accessions from genebank collections for evaluation based on traits of interest and environmental factors associated with those traits. Examples are given where FIGS identified accessions with useful genetic variation for traits like drought tolerance, disease resistance, and salt tolerance more efficiently than random screening.
Diversification in Australian broadacre farming: can simulation models handle...
1. The document discusses using simulation models to analyze diversification in Australian broadacre farming to help farmers manage risks and constraints.
2. Simulation models of crops and pastures allow analysis of how different land uses are optimal depending on soil variability and how legumes can provide nitrogen for other crops.
3. Models can also explore management flexibility in allocating resources between enterprises and maintaining soil and genetic resources over time.
Using agroecosystem modelling to design climate smart agriculture
Using agroecosystem modelling to design climate smart agricultureNatural Resources Institute Finland (Luke) / Luonnonvarakeskus (Luke)
This document discusses using agroecosystem modeling to design climate-smart agriculture. It describes climate-smart agriculture as having three objectives: sustainably increasing productivity, adapting to climate change, and reducing greenhouse gas emissions from agriculture. It notes these objectives are not always achieved simultaneously and there can be synergies or trade-offs. The document then explains that agroecosystem modeling is used to evaluate different policies and technologies under various climate scenarios. Key crop parameters are identified and simulated under different future climate projections to determine ideal crop varieties and traits resilient to future conditions.MeganArcher_EVS_FinalReport
This study examined the effects of water availability and genotype on the decomposition rate of switchgrass litter. Six genotypes of switchgrass representing different ploidy types and geographic origins were exposed to three different rainfall treatments (extreme drought, mean rainfall, extreme wet) over four months using the litterbag method. The results showed that decomposition rate generally increased with more rainfall availability but this effect depended on date. About a third of the variation in decomposition rate was explained by changes in maximum temperature from July to November. No significant effects of genotype or ploidy were found, suggesting that differences in litter chemistry among these genotypes were not large enough to impact decomposition rates. Overall climate factors like rainfall and temperature had a stronger influence on decomposition than litter chemistry traits
Genotype by Environment Interaction and Kernel Yield Stability of Groundnut (...
Genotype by Environment Interaction and Kernel Yield Stability of Groundnut (...Journal of Agriculture and Crops
Nine groundnut varieties were tested across six environments in western Oromia, Ethiopia during 2013 main cropping season to evaluate the performance of groundnut varieties for kernel yield and their stability across environments. The varieties were arranged in randomized complete block design (RCBD) with three replications. Pooled analysis of variance for kernel yield showed significant (p≤0.01) differences among the varieties, environments and the genotype by environment interaction (GxE). Additive main effect and multiplicative interactions (AMMI) analysis showed highly significant (p≤0.01) differences for varieties, environments and their interaction on kernel yield. Similarly, the first and the second interaction principal component axis (IPCA1 and IPCA 2) were highly significant (p≤0.01) and explained 41.32 and 7.2% of the total GxE sum of squares, respectively. The environment, genotype and genotype by environment interaction accounted 14.7, 24.1 and 53.3% variations, respectively. This indicated the existence of considerable amounts of deferential response among the varieties to changes in growing environments and the deferential discriminating ability of the test environments. Shulamith and Bulki varieties showed the smallest genotype selection index (GSI) values and had the highest kernel yield and stability showing that these varieties had general adaptation in the tested environments. In the genotype and genotype by environment (GGE) biplot analysis, IPCA1 and IPCA 2 explained 63.5% and 22.4%, respectively, of genotype by environment interaction and made a total of 85.9%. GGE biplot analysis also confirmed Bulki and Shulamith varieties showed better stability and thus ideal varieties recommended for production in the test environments and similar agro-ecologies.Agroclimatic modeling : CERES Wheat
Simulation models of agricultural systems, when coupled with appropriate
data sources, have a great potential for bringing agricultural research and development into the age of information technology.
Presentation -GAMFC (2014)
This document outlines a study on the impacts of climate change on cocoa yield production in Ghana using forecast models. The main objective is to determine the relationships between climate factors like rainfall and temperature with cocoa production, and to assess the impacts of climate change on cocoa yields and the socio-economic implications. The study will use general circulation models and regression analysis to analyze climate data and predict impacts on cocoa yields in 2020, 2050, and 2080. It will also examine recommendations for farmers to mitigate and adapt to climate change impacts on cocoa production.
Effects of Climate Change on Agriculture Particularly in Semi 2008
This document summarizes the effects of climate change on agriculture, particularly in semi-arid tropical regions like Ethiopia. It finds that climate change is causing higher temperature and more variable rainfall, negatively impacting crop yields. Statistical analysis of meteorological and crop yield data from Ethiopia over 30 years shows decreasing rainfall trends and increasing temperatures. This has reduced the length of the growing period and increased evapotranspiration, limiting water availability for crops. The document concludes climate change is a serious threat to agriculture in semi-arid developing countries like Ethiopia that rely on rain-fed agriculture.
Matusso and Faruque, 2015. The Performance of Sesame (Sesamum indicum L.)
This study evaluated the performance of four sesame genotypes (Linde, Alua, Rama, and Nicaragua) under agro-ecological conditions in Angónia District, Mozambique over two growing seasons. Results showed significant differences between genotypes in days to flowering, capsule formation, and maturity. The Nicaragua variety yielded significantly higher than the others with 214.8 kg/ha and 241.4 kg/ha in the respective seasons. While plant height and branching were unaffected by genotype, other growth parameters like time to flowering and capsule formation differed significantly between varieties. Overall, the Nicaragua genotype performed best in terms of yield potential under the conditions tested.
John Stephen: Introducing BASE: Biome of Australian Soil Environments. A coll...
John Stephen: Introducing BASE: Biome of Australian Soil Environments. A coll...GigaScience, BGI Hong Kong
This document introduces the BASE project, which aims to build knowledge about Australian soil environments through metagenomic analysis of soil samples. The project will collect around 50-100 soil samples from various locations across Australia, representing different environments, land uses, and farming systems. Samples will be sequenced and analyzed to characterize microbial communities and generate a comprehensive survey of Australian soil biodiversity. The data will provide a baseline for examining the effects of land use on soils and inform efforts to restore and rehabilitate native ecosystems.Grain Yield Stability in Three-way Cross Hybrid Maize Varieties using AMMI an...
A study to evaluate three-way cross hybrid maize varieties for wide adaptability and stability was conducted in eight environments in Sierra Leone using AMMI and GGE biplot analysis. There were significant genotype and environment main effects, and genotype x environment interactions (GEI) effects. Differences due to environments accounted for 70.1% of the total treatments sum of squares while genotypes and genotype x environment interaction accounted for 9.9% and 20.0%, respectively. The first four interaction principal component axes (IPCA) were also highly significant and accounted for 38.7%, 25.2%, 14.3% and 8.6%, respectively of the total genotype x environment interaction variation. The polygon view of the GGE biplot revealed that hybrid G14 produced the highest grain yield in environments E1, E5 and E7 whereas G24 was adaptive in environments E6, E8, E3, E4 and E2. Hybrids G24, G9, G17 and G6 also produced high grain yields and were relatively stable. Both AMMI and GGE biplot effectively partitioned treatments sum of squares and were more appropriate in explaining genotype x environment interaction. The models also identified G24 as the most desirable hybrid in terms of high grain yield and stability across environments. Therefore, this hybrid is recommended for commercial release.
Hydrological and physical changes of soils under cocoa plantations of differe...
This document summarizes a study that assessed hydrological and physical changes in soils under cocoa plantations of different ages during the dry season in Ghana. The study measured parameters like bulk density, porosity, organic matter, soil moisture, potential evaporation, and leaf litter accumulation in plots representing grassland (control) and cocoa plantations aged 3, 4, and 5 years. The 5-year old plantation had the highest soil moisture, porosity, organic matter, and litter fall, and lowest bulk density and evaporation. Soil moisture correlated positively with porosity and litter accumulation but negatively with bulk density and evaporation. The results suggest that soil properties influenced by the age of cocoa plantations can impact soil moisture retention under dry
Sustainability, Environment and Climate Change: Crop Production and Health Im...
Climate change presents threats and opportunities to agriculture and food systems that will impact nutrition and health. Current methods for projecting climate impacts on crop production and linking them to nutrition have limitations. There are many sources of uncertainty in these projections, including climate model uncertainty and uncertainty in how crops will respond. Appropriate levels of complexity are needed when expanding modeling systems to address current limitations while representing uncertainty. Linking quantitative climate, crop, and nutrition models can provide a simple view of impacts but more research is needed to better represent food systems.
Genetic resistance to drought and aflatoxin contamination in groundnuts in ce...
This poster presentation highlights the results gained from the experiment conducted at Rama, central zone of Tigray with the aim to screen different groundnut genotypes for their resistance to drought and natural aflatoxin contamination.
Climate analogues for climate change adaptation planning
This document discusses using climate analogues as an alternative approach to modeling climate change impacts. It describes developing a tool to find locations with current climates similar to projected future climates, in order to learn from existing adaptation strategies. The tool calculates climatic distance between sites based on monthly climate variables. Outputs include analogue lists, correspondence plots, and maps showing closest analogue locations under different climate scenarios. The document suggests several potential applications of the climate analogue approach.
CSA Symposium 2016 - Dr. Dale Rankine Day 2 Session 1
Quantifying Drought Tolerance in Root Crops- The FAO AquaCrops Model's Perspective on Jamaican Sweet Potatoes, Ipomoea batatas
Similar to Environmental characteristisation for genotype by environment matching. SIMLESA workshop. Solomon Fekybelu (20)
" Use of genomics for understanding and improving adaptation to climate chang...
" Use of genomics for understanding and improving adaptation to climate chang...
Climate resilient crop cultivars in the view point of physiology and genetics...
Climate resilient crop cultivars in the view point of physiology and genetics...
Diversification in Australian broadacre farming: can simulation models handle...
Diversification in Australian broadacre farming: can simulation models handle...
Using agroecosystem modelling to design climate smart agriculture
Using agroecosystem modelling to design climate smart agriculture
Genotype by Environment Interaction and Kernel Yield Stability of Groundnut (...
Genotype by Environment Interaction and Kernel Yield Stability of Groundnut (...
Effects of Climate Change on Agriculture Particularly in Semi 2008
Effects of Climate Change on Agriculture Particularly in Semi 2008
Matusso and Faruque, 2015. The Performance of Sesame (Sesamum indicum L.)
Matusso and Faruque, 2015. The Performance of Sesame (Sesamum indicum L.)
John Stephen: Introducing BASE: Biome of Australian Soil Environments. A coll...
John Stephen: Introducing BASE: Biome of Australian Soil Environments. A coll...
Grain Yield Stability in Three-way Cross Hybrid Maize Varieties using AMMI an...
Grain Yield Stability in Three-way Cross Hybrid Maize Varieties using AMMI an...
Hydrological and physical changes of soils under cocoa plantations of differe...
Hydrological and physical changes of soils under cocoa plantations of differe...
Sustainability, Environment and Climate Change: Crop Production and Health Im...
Sustainability, Environment and Climate Change: Crop Production and Health Im...
Genetic resistance to drought and aflatoxin contamination in groundnuts in ce...
Genetic resistance to drought and aflatoxin contamination in groundnuts in ce...
Climate analogues for climate change adaptation planning
Climate analogues for climate change adaptation planning
CSA Symposium 2016 - Dr. Dale Rankine Day 2 Session 1
CSA Symposium 2016 - Dr. Dale Rankine Day 2 Session 1
More from Joanna Hicks
Nick Austin presentation to Food Security Forum Adelaide
The document outlines a strategic framework for Australia's international agricultural research investments to increase their impact. It proposes increasing funding and targeting priority countries and regions, including Africa. The framework focuses on jointly identifying research themes with developing country partners, establishing long-term partnerships, and taking new approaches like team-based programs and engaging more with global research initiatives like the CGIAR. The goal is for Australian agricultural research to substantially increase the number of poor and food insecure people that benefit.
Carbon footprint of crop production due to shift from conventional to CA. Ran...
The document discusses carbon footprints of different crop production scenarios in Bihar, India. Four scenarios were studied: (1) farmer practice of rice-wheat, (2) best available practices including conservation tillage, (3) conservation agriculture with zero-tillage and residue retention, and (4) diversified system with rice-maize-cowpea. Carbon footprints were estimated based on diesel used for tillage and electricity for irrigation. Scenario 4 had the lowest carbon footprint due to reduced tillage, residue retention and crop diversification.
The impact of trash management and tillage on soybean productivity in sugar b...
This document summarizes a study on the impact of trash management and tillage on soybean productivity in sugarcane farming systems. The study tested different combinations of trash management (full trash retention, partial removal through baling, or burning) and tillage intensity (conventional tillage, strip tillage, or direct drilling). Strip tillage was found to improve soybean establishment and early growth compared to direct drilling, while maintaining comparable yields to conventional tillage. Strip tillage addresses subsoil constraints while maintaining surface cover benefits. The results suggest strip tillage warrants further commercial evaluation as it can facilitate reduced tillage within a controlled traffic system to deliver soil health benefits.
Increasing rainfall-use efficiency for dryland crops on duplex soils. Peter Sale
This document discusses a new technique called "subsoil manuring" that aims to increase crop yields on duplex soils in southeast Australia. The technique involves deep ripping clay subsoils and incorporating organic matter like lucerne pellets to improve soil structure and water retention. Early research results show the technique increased wheat yields by 60-100% compared to untreated soils, and improved the subsoil's ability to retain water during summer fallows and support more root growth. While the input costs of subsoil manuring with poultry litter are estimated at $670-950 per hectare, the technique has generated great interest among local farmers for improving productivity of problem clay soils.
Rice straw mulching and nitrogen requirement to improve productivity of no-ti...
1) The document discusses experiments on using rice straw mulching to improve productivity of no-till wheat grown after rice in Bangladesh.
2) Short-term rice straw mulching for 20 days after sowing was found to be as effective as retaining straw mulch, in conserving soil moisture, reducing weeds, improving nitrogen uptake and wheat root growth.
3) Both short-term mulching and retaining straw mulch led to higher wheat yields compared to no mulch. The optimum nitrogen level for highest yields was found to be 115-122 kg/ha depending on mulch treatment.
The effect of tillage practice and residue management on wheat yield and yiel...
This document summarizes a study on the effects of tillage practices and residue management on wheat yield and stability in two agricultural environments in Mexico. In a rainfed highland system in El Batán, zero tillage with full residue retention produced the highest average yield and was more stable than conventional tillage. In an irrigated wheat system in Cd. Obregón, permanent beds with full residue retention yielded the highest and were the most stable. Conservation agriculture practices led to improved yields, especially under more adverse rainfed conditions, but removing or burning all crop residue was found to be unsustainable.
Towards sustainable intensification of maize-legume cropping systems - Ethiop...
This document summarizes the findings of the SIMLESA program in Ethiopia which tested Conservation Agriculture (CA) practices versus conventional tillage methods for maize-legume cropping systems. Key findings include:
1) CA practices such as no-tillage, crop rotation, and residue retention led to increased maize yields of over 32% in mid-altitude sub-humid zones compared to conventional tillage.
2) Benefits of CA included improved soil fertility through increased soil organic matter, better soil and water conservation, and weed control. Intercropping also increased total land productivity and resource use efficiency.
3) Widespread adoption of CA practices could increase agricultural productivity and food security in
SIMLESA: one year later. Mulugetta Mekuria
This document provides the agenda for two workshops on the SIMLESA program. The first workshop focuses on the integration design and operational framework of SIMLESA and initial findings on conservation agriculture activities. The agenda covers introductions, an overview of the SIMLESA program pathways to impact, analysis of similarities between environments in Queensland and Africa, and initial variety and conservation agriculture effects in Queensland. The second workshop focuses on initial findings from SIMLESA objective 1 on baseline surveys and experiences with sustainable intensification of maize-legume cropping systems in Kenya, Ethiopia, and Mozambique.
Towards sustainable intensification of Maize-Legume cropping systems: Kenya e...
The SIMLESA project in Kenya tested conservation agriculture practices to improve maize-legume production for smallholders. Researchers studied the effects of minimal tillage and residue retention on soil properties, water use efficiency, and crop yields over multiple seasons. Results showed that conservation agriculture practices increased water use efficiency and more than doubled maize yields compared to conventional tillage. Crop modeling with APSIM also accurately predicted yields under different management systems. While adoption of conservation agriculture provided benefits, some challenges like residue competition and lack of farm implements remained barriers for smallholders.
Making CA ever green. Dennis Garrity
This document discusses conservation agriculture and agroforestry practices that incorporate trees. It provides examples from several African countries of how using trees such as Faidherbia albida has increased maize yields, improved soil fertility, and transformed agricultural landscapes. National programs in countries like Malawi, Niger, and Kenya aim to increase tree cover on farms through agroforestry in order to boost food security and restore degraded lands. [/SUMMARY]
Adoption of CA practices: evidence of interdependence in plot level farmer te...
This study examines the adoption of conservation agriculture practices (CAPs) among smallholder farmers in Tanzania. It finds that the adoption of different CAPs is interdependent, with practices often adopted as complements or substitutes. The likelihood of adoption is influenced by factors like production risk, access to extension services and markets, social networks, land characteristics, and farm size. Promoting CAP adoption requires properly targeting practices based on agroecology and improving farmers' organizations, market linkages, education, and extension services.
Soil and yield improvements from controlled traffic farming on a red chromoso...
Controlled traffic farming (CTF) improved soil structure and increased crop yields compared to conventional wheel traffic (C) methods on a Red Chromosol soil in South Australia over 6 years. Yields were 12-22% greater with CTF in 5 of the 6 years. Deep ripping had no effect on yields. CTF resulted in better soil structure with increased stable soil aggregates over 2mm and greater water infiltration rates compared to C. CTF also showed signs of improved root growth but the impacts on root morphology and response to diseases or stresses were not fully explained. The results were similar to those found on a Black Vertosol, indicating the benefits of CTF can apply across soil types.
Comparison of different soil tillage systems, under several crop rotations in...
This study compared different soil tillage systems and crop rotations for wheat production in Turkey's Central Anatolian Plateau region. The objectives were to evaluate the effects of tillage and previous crops on wheat yield under both irrigated and rainfed conditions. Field experiments from 2002-2007 compared conventional tillage, reduced tillage, and no-till under various crop rotations. The results showed that under rainfed conditions, no-till produced the highest wheat yields. Under irrigated conditions, reduced tillage and no-till with sugar beet or bean crop rotations produced the highest wheat yields. Adopting alternative tillage practices and crop rotations could improve wheat yields and farm profits in the region.
The effects of minimum and conventional tillage systems on maize grain yield ...
The document evaluates the effects of minimum tillage (MT) and conventional tillage (CT) systems on maize yield and soil fertility in western Ethiopia over 5 years. MT with residue retention (MTRR) increased average maize yields by 6.6% compared to MT with residue removal (MTRV) and 12.2% compared to CT. MTRR also increased yields more during drought years. MTRR improved soil organic carbon, nitrogen, phosphorus and potassium levels compared to MTRV and CT. The recommended nitrogen fertilizer rate of 92 kg/ha was appropriate for all tillage systems.
Controlled traffic/permanent bed farming reduces GHG emissions. Jeff Tullberg
Controlled traffic/permanent bed farming reduces greenhouse gas emissions by using permanent traffic lanes that minimize soil compaction compared to conventional tillage. A pilot study found nitrous oxide emissions were 5-7 times higher in permanent traffic lanes compared to non-wheeled permanent beds. As controlled traffic farming only wheels 10-20% of the area while conventional farming wheels 50% or more, controlled traffic farming is expected to reduce soil emissions by over 50%. Improved soil health and water use efficiency with controlled traffic farming may also increase carbon input into soils. Further research is still needed across different environments.
Controlled traffic farming, productivity, sustainability and resilience: outc...
This document discusses the principles and benefits of controlled traffic farming (CTF). It summarizes CTF as involving permanent wheel tracks, matched machinery, and zonal management to improve soil health and farming efficiencies. The document outlines six key aspects of CTF systems: 1) controlled traffic, 2) designed field layouts, 3) no-till and controlled traffic, 4) new spatial technologies, 5) automated measurement and management tools, and 6) triple bottom line outcomes of increased profits, lower costs, and improved environmental sustainability.
Production systems for the future: balancing trade-offs between food producti...
The document discusses balancing trade-offs between food production, environment, livelihoods, and efficiency in future production systems. It notes the need to feed a growing population while maintaining or reducing environmental impacts. Mixed crop-livestock systems currently produce much of the world's food but face increasing pressures from population growth, urbanization, and rising demand for food and livestock products. Sustainable intensification of these systems will be important to close yield gaps while improving efficiency. Trade-offs between different outcomes need to be considered at farm and broader scales.
Sustainable intensification of maize-bean production among smallholder farmer...
This document summarizes a study on sustainable intensification of maize-bean production among smallholder farmers in western Kenya using conservation agriculture (CA) principles. The study found that combining minimal tillage and residue retention increased water use efficiency, soil organic matter, and maize yields by over 100% compared to conventional practices. It also found that rhizobial inoculation increased bean yields. Modeling with APSIM showed a high degree of accuracy in predicting maize and bean yields under CA. While CA practices showed promising results, challenges remain around competition for crop residues and lack of appropriate small-scale farm implements.
Nitrogen is essential to capture the benefit of summer rainfall for wheat in ...
1) The document discusses how summer rainfall can benefit wheat production in Mediterranean environments of South Australia that typically receive most rainfall in winter.
2) Adding simulated summer rainfall of 50-100mm increased wheat shoot dry matter, PAR interception, and soil water content compared to control plots with only background rainfall.
3) Nitrogen is important for capturing the benefits of summer rainfall to maximize wheat yields.
Biomass shifts and suppresses weed populations under CA. Michael Mulvaney
The document summarizes a study on the effects of conservation agriculture practices including cover crops and organic mulches on weed suppression, soil carbon, and collard yields over three years in central-eastern Alabama. Key findings include: 1) Forage soybean was not effective at weed suppression while mulches improved control of broadleaf weeds and sedges after the first year; 2) Weed populations shifted from broadleaves and sedges to more grasses in the second year; and 3) Transitioning to conservation agriculture practices increased soil organic carbon levels but yields were unaffected by mulching or cover crops.
More from Joanna Hicks (20)
Nick Austin presentation to Food Security Forum Adelaide
Nick Austin presentation to Food Security Forum Adelaide
Carbon footprint of crop production due to shift from conventional to CA. Ran...
Carbon footprint of crop production due to shift from conventional to CA. Ran...
The impact of trash management and tillage on soybean productivity in sugar b...
The impact of trash management and tillage on soybean productivity in sugar b...
Increasing rainfall-use efficiency for dryland crops on duplex soils. Peter Sale
Increasing rainfall-use efficiency for dryland crops on duplex soils. Peter Sale
Rice straw mulching and nitrogen requirement to improve productivity of no-ti...
Rice straw mulching and nitrogen requirement to improve productivity of no-ti...
The effect of tillage practice and residue management on wheat yield and yiel...
The effect of tillage practice and residue management on wheat yield and yiel...
Towards sustainable intensification of maize-legume cropping systems - Ethiop...
Towards sustainable intensification of maize-legume cropping systems - Ethiop...
Towards sustainable intensification of Maize-Legume cropping systems: Kenya e...
Towards sustainable intensification of Maize-Legume cropping systems: Kenya e...
Adoption of CA practices: evidence of interdependence in plot level farmer te...
Adoption of CA practices: evidence of interdependence in plot level farmer te...
Soil and yield improvements from controlled traffic farming on a red chromoso...
Soil and yield improvements from controlled traffic farming on a red chromoso...
Comparison of different soil tillage systems, under several crop rotations in...
Comparison of different soil tillage systems, under several crop rotations in...
The effects of minimum and conventional tillage systems on maize grain yield ...
The effects of minimum and conventional tillage systems on maize grain yield ...
Controlled traffic/permanent bed farming reduces GHG emissions. Jeff Tullberg
Controlled traffic/permanent bed farming reduces GHG emissions. Jeff Tullberg
Controlled traffic farming, productivity, sustainability and resilience: outc...
Controlled traffic farming, productivity, sustainability and resilience: outc...
Production systems for the future: balancing trade-offs between food producti...
Production systems for the future: balancing trade-offs between food producti...
Sustainable intensification of maize-bean production among smallholder farmer...
Sustainable intensification of maize-bean production among smallholder farmer...
Nitrogen is essential to capture the benefit of summer rainfall for wheat in ...
Nitrogen is essential to capture the benefit of summer rainfall for wheat in ...
Biomass shifts and suppresses weed populations under CA. Michael Mulvaney
Biomass shifts and suppresses weed populations under CA. Michael Mulvaney
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Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Operating System Used by Users in day-to-day life.pptx
Dive into the realm of operating systems (OS) with Pravash Chandra Das, a seasoned Digital Forensic Analyst, as your guide. 🚀 This comprehensive presentation illuminates the core concepts, types, and evolution of OS, essential for understanding modern computing landscapes.
Beginning with the foundational definition, Das clarifies the pivotal role of OS as system software orchestrating hardware resources, software applications, and user interactions. Through succinct descriptions, he delineates the diverse types of OS, from single-user, single-task environments like early MS-DOS iterations, to multi-user, multi-tasking systems exemplified by modern Linux distributions.
Crucial components like the kernel and shell are dissected, highlighting their indispensable functions in resource management and user interface interaction. Das elucidates how the kernel acts as the central nervous system, orchestrating process scheduling, memory allocation, and device management. Meanwhile, the shell serves as the gateway for user commands, bridging the gap between human input and machine execution. 💻
The narrative then shifts to a captivating exploration of prominent desktop OSs, Windows, macOS, and Linux. Windows, with its globally ubiquitous presence and user-friendly interface, emerges as a cornerstone in personal computing history. macOS, lauded for its sleek design and seamless integration with Apple's ecosystem, stands as a beacon of stability and creativity. Linux, an open-source marvel, offers unparalleled flexibility and security, revolutionizing the computing landscape. 🖥️
Moving to the realm of mobile devices, Das unravels the dominance of Android and iOS. Android's open-source ethos fosters a vibrant ecosystem of customization and innovation, while iOS boasts a seamless user experience and robust security infrastructure. Meanwhile, discontinued platforms like Symbian and Palm OS evoke nostalgia for their pioneering roles in the smartphone revolution.
The journey concludes with a reflection on the ever-evolving landscape of OS, underscored by the emergence of real-time operating systems (RTOS) and the persistent quest for innovation and efficiency. As technology continues to shape our world, understanding the foundations and evolution of operating systems remains paramount. Join Pravash Chandra Das on this illuminating journey through the heart of computing. 🌟
GraphRAG for Life Science to increase LLM accuracy
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
Choosing The Best AWS Service For Your Website + API.pptx
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
Monitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
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Environmental characteristisation for genotype by environment matching. SIMLESA workshop. Solomon Fekybelu
- 1. Solomon Fekybelu, Yash Chauhan, Daniel Rodriguez, John Dimes SIMLESA workshop, Brisbane, Sep. 2011 Environmental characterisation for genotype by environment matching
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- 5. Yield cluster distribution follows a geographical pattern
- 7. Clusters 4 & 5 have higher frequencies of terminal drought (sky blue and purple sections) No stress Mild Moderate Severe Flowering
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Editor's Notes
- Maize breeding focuses at NQLD (high rainfall area) & South, central (drier) environments
- As you know crop grow in various type of contrasting environments. Plant breeders target a certain population of environment which correspond to the set of env. that crops might experienced within a defined geographic area that they’re interesting in. Breeders usually target a certain population of environments which reflect/integrate/gather/correspond the different environments to which their released cultivar will be exposed to. Comstock gave a definition of the TPE in 1977, saying that they correspond to the complete set of environment types in which crop can be grown within a geographical ares. Identification of the location
- E1-no stress, e2 flowering stress, e3-mild terminal, e4 moderate and
- Traits like ‘stay green’ may help with terminal stress Matching phenology may require developing quick maturing genotypes G-M for each target environment to enhance productivity and profitability of growing maize